Destiny Kwabla Amenyedzi / FarmMonitoring_2024 Public

Configure your deployment

You can deploy your impulse to any device. This makes the model run without an internet connection, minimizes latency, and runs with minimal power consumption. Read more.
No deployment options available for this project.
Model optimizations can increase on-device performance but may reduce accuracy. Performance estimate for Arduino Nano 33 BLE Sense (Cortex-M4F 64MHz).
Quantized (int8)
Latency
Ram
Flash
Accuracy
MFE Classifier Total
302 ms.9 ms. 311 ms.
19.7K10.9K 19.7K
-39.7K -
91.03%
Unoptimized (float32)
Latency
Ram
Flash
Accuracy
MFE Classifier Total
302 ms.283 ms. 585 ms.
19.7K32.9K 32.9K
-58.2K -
91.13%

Run this model

Scan QR code or launch in browser to test your prototype